Get A $100,000 Paying Engineering Job At Google By Mastering These 11 Tech Skills

Want to get a $100,000 engineering job at Google? Master these 11 skills

Who doesn’t want to work for a top tech company like Google? Not only is Google one of the top-most empathetic company in the world but it also pays it employees handsomely well.

However, it is not that easy to get hired by the search giant. And it is no surprise. While interns here start at $70,000 to $90,000 salaries, the software engineers get $118,000 and senior software engineers earn an average of $152,985.

You need skills and talent to get a job in Google. The company receives more than 2.5 million job applications per year, of which only 4,000 people get hired.

Thankfully for would-be Googlers, the Google in Education team has released a list of skills that they want to see in potential engineers.

“Having a solid foundation in Computer Science is important in being a successful Software Engineer,” the company says. “This guide is a suggested path for University students to develop their technical skills academically and non-academically through self-paced, hands-on learning.”

Here are the skills Google wants its tech talent to master, complete with online resources to get you started:

1. Master the foundation

Try and get through an introduction to CS course, like the ones from Coursera or Udacity.

2. Learn to code

You need to learn coding in at least one object-oriented programming language such as Java, C++, or Python. You can consult Udacity or MIT.

3. Test your code

Google wants you to be able to “catch bugs, create tests, and break your software.” You can take help from Udacity.

4. Learn other programming languages

Add Java Script, HTML, CSS, and Ruby to the list of your skills. You can take help from W3school and CodeAcademy.

5. Get to know operating systems

Know operating systems, as that is where you would be doing most of your work. The University of California, Berkeley, provides a primer.

6. Understand algorithms and data structures

Google wants you to learn about fundamental data types like stacks, queues, and bags, as well as understand sorting algorithms like mergesort, quicksort, and heapsort. MIT offers the recommended online resources, and the book “The Algorithm Design Manual” is very helpful, too.

7. Have some background in abstract math

Computer science draws a lot from logical reasoning and discrete math. MIT can help you with mathematics for computer science.

8. Learn how to develop compilers

Stanford says that when you do that, “you will learn how a program written in a high-level language designed for humans is systematically translated into a program written in low-level assembly more suited to machines.” Go to Coursera to learn it.

9. Learn parallel programming

This is because by being able to carry out tons of computations at the same time, it is super powerful. The University of Illinois can guide you through this.

10. Learn cryptography

Since cyber-security is vital, you need to learn crytography. Coursera and Udacity provide courses.

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